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Genetic algorithms for learning the rule base of fuzzy logic controller

✍ Scribed by T.C. Chin; X.M. Qi

Publisher
Elsevier Science
Year
1998
Tongue
English
Weight
432 KB
Volume
97
Category
Article
ISSN
0165-0114

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✦ Synopsis

In this paper, genetic algorithms are used in the study to maximise the performance of a fuzzy logic controller through the search of a subset of rule from a given knowledge base to achieve the goal of minimising the number of rules required. Comparisons are made between systems utilising reduced rules and original rules to verify the outputs. As an example of non-linear system, an inverted pendulum will be controlled by minimum rules to illustrate the performance and applicability of this proposed method. @

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